Capitalmind Adaptive Momentum PMS

What Is Capitalmind Adaptive Momentum?

Capitalmind Adaptive Momentum is a flexicap, long-only quantitative equity PMS based on the momentum factor.

The central premise is straightforward:

Stocks that have demonstrated strong price momentum can continue to exhibit relative strength for a period of time.

Adaptive Momentum attempts to identify those securities systematically rather than relying on discretionary stock-picking.

The strategy became live on 5 March 2019 and has more than seven years of live track record as of August 2026. APMI classifies the strategy as Equity, with the Nifty 50 TRI as its benchmark. Its reported AUM is ₹226.32 crore, and the minimum investment amount reported by APMI is ₹1 crore.

The strategy is designed to be sector- and market-cap agnostic. Rather than maintaining a permanent allocation to a particular sector or market-cap segment, the quantitative process seeks securities displaying the characteristics required by its momentum framework.

This creates a portfolio that can change meaningfully over time.

Capitalmind Adaptive Momentum Snapshot

Data reference date: APMI disclosure as of 31 July 2026, where applicable.

APMI reports Krishna Kishore Appala as the fund manager, with 14 years of work experience. The APMI disclosure identifies the strategy's purpose as an active, algorithm-based approach using the momentum factor.

How Momentum Investing Works

Momentum investing is based on an observed market phenomenon: securities that have been performing strongly can continue to perform strongly for some period, while weaker securities can continue to lag.

But why should this happen if markets are supposed to incorporate available information?

One explanation lies in investor behaviour.

Anchoring

Investors often remain attached to an existing view about a company.

If a stock was previously considered unattractive, investors may take time to revise that opinion even when new information begins improving the company's outlook.

This creates a potential delay between changing fundamentals or expectations and changes in investor positioning.

Disposition Effect

Investors frequently sell winning investments too early while holding losing investments for longer than they should.

This behaviour can contribute to gradual price trends.

A stock attracting increasingly positive expectations can continue moving higher as more investors recognise the underlying strength.

Cognitive Dissonance

When new information conflicts with an investor's existing belief, the investor may take time to accept the new information.

For example, if a company previously regarded as weak begins producing consistently strong results, market participants may not immediately revise their expectations.

This gradual adjustment can contribute to momentum.

Short-term underreaction

Investors may react strongly to major events but underreact to smaller pieces of information that accumulate over time.

A series of relatively modest positive developments can therefore create a sustained change in investor expectations.

Momentum investing attempts to capture this continuation effect.

The important point is that momentum is not simply buying stocks because they went up yesterday.

A robust momentum framework needs rules around:

• Which securities qualify
• How momentum is measured
• How volatility is considered
• When positions enter the portfolio
• When positions leave
• How frequently the portfolio is rebalanced
• How portfolio-level risk is managed

That systematic structure is what separates a quantitative momentum strategy from discretionary trend-chasing.

What Makes It "Adaptive": Volatility-Adjusted Momentum Scoring

Conventional momentum strategies can rank stocks using straightforward point-to-point returns.

Adaptive Momentum uses a more nuanced framework.

The strategy uses a composite return metric adjusted for volatility rather than relying solely on a single point-to-point return number.

Why does this matter?

Consider two stocks:

• Stock A rises 30% with relatively stable price behaviour.
• Stock B rises 30% but experiences several severe swings along the way.

A simple return-based momentum score could treat both similarly.

A volatility-adjusted approach can distinguish between the quality of those returns.

The objective is to identify momentum while taking the path of the return into account.

Short-term entry filters

Adaptive Momentum also uses short-term price and volume criteria around portfolio entry.

These filters are designed to reduce the probability of entering a stock immediately before a sharp reversal.

This does not eliminate reversal risk.

It simply adds another layer to the decision process.

Iterative quantitative process

The framework can also be tested and refined through quantitative research and backtesting.

The objective is not to create a strategy that never changes.

Instead, the process can evolve as research identifies ways to improve the balance between return potential and risk.

This is one reason the word "Adaptive" is important.

The strategy is systematic, but its quantitative framework is not treated as permanently frozen.

How Adaptive Momentum Uses Cash in Market Declines

One of the more important features of Adaptive Momentum is its portfolio-level risk-management framework.

When broad market conditions weaken, the strategy can move partially or fully into cash or alternative assets.

This creates an important difference from a permanently invested long-only equity portfolio.

What the cash rule is trying to achieve

The purpose is to reduce equity exposure when broad market conditions deteriorate significantly.

If a prolonged market decline develops, moving away from equities can reduce the portfolio's participation in the downside.

But the rule has an important trade-off.

The cost of being defensive

Markets do not always decline smoothly.

A sharp fall can be followed by a rapid recovery.

If the quantitative signals remain defensive during the initial stages of that recovery, the portfolio can hold cash while equities rebound.

This is known as cash drag or opportunity-cost risk.

The cash rule therefore does not mean:

"The portfolio will avoid losses."

It means that the strategy has rules designed to reduce equity exposure during certain broad-market conditions.

Those rules can help during sustained declines, but they can also cause the portfolio to participate less in a sudden rebound.

This is a critical point for investors.

Risk management changes the shape of risk; it does not remove risk.

Adaptive Momentum vs Capitalmind Resilient

Adaptive Momentum and Capitalmind Resilient are designed around different investment characteristics.

The two strategies should not automatically be viewed as substitutes.

Because they respond to different characteristics, holding both can potentially provide exposure to different market behaviours.

However, diversification should be assessed at the portfolio level.

Two strategies can have different names and methodologies while still experiencing periods of correlated losses.

Investors should therefore examine:

• Underlying holdings
• Factor exposure
• Sector exposure
• Market-cap exposure
• Historical drawdowns
• Turnover
• Overall equity allocation

before combining them.

Capitalmind Adaptive Momentum Minimum Investment and Fees

The APMI disclosure reports a ₹1 crore minimum investment for Adaptive Momentum.

The reported fee structure is:

• Fixed fee: Nil
• Management fee: 1%
• Profit share: None
• Exit load: Nil

APMI also reports no exit load for the strategy.

The fee should be considered alongside other costs that may arise within a PMS account, including transaction-related expenses, taxes and other applicable charges.

The relevant question for an investor is therefore not simply:

"What is the management fee?"

It is:

"What is the total cost of owning and operating this portfolio, including the effect of turnover?"

That becomes particularly important for momentum strategies.

PMS Taxation and Portfolio Turnover

Momentum strategies tend to trade more frequently than conventional buy-and-hold equity portfolios.

Adaptive Momentum's APMI disclosure reports:

• 1-month turnover: 0.34
• 1-year turnover: 4.13

as of 31 July 2026.

High turnover is not necessarily a flaw in a momentum strategy.

In fact, frequent trading can be an intentional part of the investment process.

If a stock loses its momentum characteristics, the strategy needs to be able to reduce or exit the position.

But turnover has an important implication for investors:

Tax impact

Frequent buying and selling can result in more frequent realisation of capital gains and losses.

For Indian equity investments, the holding period can affect whether gains are treated as short-term capital gains (STCG) or long-term capital gains (LTCG) under the prevailing tax rules.

A momentum portfolio can therefore have a different tax profile from a low-turnover buy-and-hold strategy.

Investors should consider:

• Portfolio turnover
• Frequency of realised gains
• STCG exposure
• LTCG opportunities
• Transaction costs
• Their individual tax position

The exact tax treatment depends on prevailing regulations and the investor's circumstances.

Investors should consult a qualified tax advisor for personalised tax guidance.

Key Risks of a Momentum Strategy

Momentum investing has a very different risk profile from traditional buy-and-hold investing.

1. Whipsaw risk

This is perhaps the most important risk.

A momentum strategy can identify a stock as strong, enter the position and then see the trend reverse sharply.

The strategy may subsequently exit the position at a loss.

A rapid sequence of entry and exit signals can create multiple small losses before a sustained trend emerges.

2. Momentum reversal

Momentum can reverse suddenly.

A portfolio positioned for continued strength can be vulnerable when market leadership changes abruptly.

3. Factor-cycle risk

Momentum can underperform during periods when other factors dominate market returns.

There can be extended periods when the momentum factor simply does not work as expected.

4. Model risk

Adaptive Momentum depends on quantitative rules.

If the assumptions behind those rules stop working effectively in a particular market environment, portfolio outcomes can suffer.

5. Turnover and tax drag

Frequent trading can create higher realised-gain frequency and potentially increase the proportion of gains subject to short-term capital-gains treatment.

6. Cash drag

The strategy can move partly or fully into cash during broad market declines.

If markets recover rapidly, the portfolio may participate less in the rebound.

7. Concentration risk

Although the strategy can diversify across sectors and market caps, portfolio-level exposure can still become concentrated in securities or market segments showing strong momentum.

8. Market risk

Adaptive Momentum remains an equity strategy.

It can experience significant losses during adverse market conditions.

9. Key-person and implementation risk

A quantitative strategy still requires research, technology, portfolio implementation and ongoing monitoring.

Changes in the investment team or implementation framework can affect outcomes.

Who May Consider Capitalmind Adaptive Momentum?

Adaptive Momentum may be relevant for investors who:

• Can meet the ₹1 crore minimum investment.
• Have a long-term investment horizon.
• Are comfortable with frequent portfolio changes.
• Understand that momentum strategies can experience periods of underperformance.
• Are comfortable with the portfolio moving partially or fully into cash.
• Can tolerate whipsaw losses.
• Understand that the strategy may hold stocks without a conventional fundamental investment story.
• Prefer a systematic, rules-based approach over discretionary stock selection.
• Can remain invested through periods when momentum temporarily underperforms.

A longer investment horizon is particularly important.

A momentum strategy can lag the broader market over individual periods even when its long-term investment thesis remains intact.

Investors therefore need to be comfortable with the possibility of:

Entering → being wrong → exiting → re-entering later.

That behaviour is not necessarily evidence that the strategy has failed.

It is an inherent consequence of following a systematic momentum process.

At the same time, investors who strongly prefer low turnover, predictable holdings or fundamental company analysis may find a conventional discretionary strategy more aligned with their preferences.

Explore Other Capitalmind Strategies

Investors evaluating different Capitalmind approaches can also explore:

Capitalmind Resilient

Capitalmind Select India One

Capitalmind Altitude

For a broader understanding of PMS structures, explore portfolio management services.

Investors comparing professionally managed portfolios with direct stock investing can read PMS vs Direct Equity.

For further information, contact our investment team.